RRepoGEO

REPOGEO REPORT · LITE

victordibia/autogen-ui

Default branch main · commit b5dba5a5 · scanned 6/12/2026, 3:33:28 AM

GitHub: 999 stars · 138 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface victordibia/autogen-ui, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify its specific purpose

    Why:

    CURRENT
    # AutoGen UI

> [!IMPORTANT]  
> This repo has been updated to use the AutoGen AgentChat interface based on the new AutoGen 0.4x AgentChat api. Also, the API might change, so expect some breaking changes in the future.

The hello world for building a UI interface with AutoGen AgentChat API.
    COPY-PASTE FIX
    # AutoGen UI: A Dedicated Web Interface for Microsoft AutoGen Agent Applications

> [!IMPORTANT]  
> This repo has been updated to use the AutoGen AgentChat interface based on the new AutoGen 0.4x AgentChat api. Also, the API might change, so expect some breaking changes in the future.

AutoGen UI provides a ready-to-use web interface for building, testing, and visualizing multi-agent LLM applications powered by Microsoft's AutoGen framework. It offers a graphical environment to interact with AutoGen AgentChat API, making it easier to develop and observe agent conversations.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/victordibia/autogen-ui
  • lowtopics#3
    Add more specific topics related to UI and dashboards for AutoGen

    Why:

    CURRENT
    agent-based-framework, ai, ai-agents, autogen, autogen-sample, chatgpt, deep-learning, visualization
    COPY-PASTE FIX
    agent-based-framework, ai, ai-agents, autogen, autogen-sample, autogen-ui, chatgpt, deep-learning, llm-ui, multi-agent-ui, visualization, web-dashboard

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface victordibia/autogen-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Playground
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Playground · recommended 1×
  2. OpenAI Playground · recommended 1×
  3. Hugging Face Spaces · recommended 1×
  4. gradio-app/gradio · recommended 1×
  5. streamlit/streamlit · recommended 1×
  • CATEGORY QUERY
    Seeking a web-based interface for developing and testing LLM agent applications.
    you: not recommended
    AI recommended (in order):
    1. LangChain Playground
    2. OpenAI Playground
    3. Hugging Face Spaces
    4. Gradio (gradio-app/gradio)
    5. Streamlit (streamlit/streamlit)
    6. Weights & Biases Prompts

    AI recommended 6 alternatives but never named victordibia/autogen-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to create an interactive web dashboard for visualizing AI agent conversations?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Plotly Dash
    3. Panel
    4. Gradio
    5. Tableau
    6. Power BI
    7. React
    8. D3.js
    9. Plotly.js

    AI recommended 9 alternatives but never named victordibia/autogen-ui. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of victordibia/autogen-ui?
    pass
    AI did not name victordibia/autogen-ui — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts victordibia/autogen-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named victordibia/autogen-ui explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo victordibia/autogen-ui solve, and who is the primary audience?
    pass
    AI named victordibia/autogen-ui explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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victordibia/autogen-ui — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite